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ICPR
2010
IEEE
13 years 11 months ago
Improved Mean Shift Algorithm with Heterogeneous Node Weights
The conventional mean shift algorithm has been known to be sensitive to selecting a bandwidth. We present a robust mean shift algorithm with heterogeneous node weights that come f...
Ji Won Yoon, Simon P. Wilson
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
14 years 7 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
PR
2007
293views more  PR 2007»
13 years 10 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
AIMSA
2004
Springer
14 years 4 months ago
Coordinating Semantic Peers
Abstract. The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues in the development of the Semantic Web. In this paper, we propose a ...
Paolo Bouquet, Luciano Serafini, Stefano Zanobini
SAC
2009
ACM
14 years 5 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang